Výsledky vyhledávání - "Plociennik, Christiane"

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Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems

Autor: Benbouzid, Djalel, Plociennik, Christiane, Lucaj, Laura, Maftei, Mihai, Merget, Iris, Burchardt, Aljoscha, Hauer, Marc P., Naceri, Abdeldjallil, van der Smagt, Patrick

The growing adoption and deployment of Machine Learning (ML) systems came with its share of ethical incidents and societal concerns. It also unveiled the necessity to properly audit these systems in light of ethical principles. For such a novel type

Externí odkaz: http://arxiv.org/abs/2405.13191

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Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

Autor: Antony, Jibinraj, Hegiste, Vinit, Nazeri, Ali, Tavakoli, Hooman, Walunj, Snehal, Plociennik, Christiane, Ruskowski, Martin

Object Detection (OD) has proven to be a significant computer vision method in extracting localized class information and has multiple applications in the industry. Although many of the state-of-the-art (SOTA) OD models perform well on medium and lar

Externí odkaz: http://arxiv.org/abs/2401.12729

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Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario

Autor: Tavakoli, Hooman, Walunj, Snehal, Pahlevannejad, Parsha, Plociennik, Christiane, Ruskowski, Martin

Detecting small objects in video streams of head-worn augmented reality devices in near real-time is a huge challenge: training data is typically scarce, the input video stream can be of limited quality, and small objects are notoriously hard to dete

Externí odkaz: http://arxiv.org/abs/2106.06403

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